Segmentation and grading of brain tumors on apparent diffusion coefficient images using self-organizing maps

@article{Vijayakumar2007SegmentationAG,
  title={Segmentation and grading of brain tumors on apparent diffusion coefficient images using self-organizing maps},
  author={C. Vijayakumar and Gharpure Damayanti and R. Pant and C. M. Sreedhar},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2007},
  volume={31 7},
  pages={
          473-84
        }
}
An accurate computer-assisted method to perform segmentation of brain tumor on apparent diffusion coefficient (ADC) images and evaluate its grade (malignancy state) has been designed using a mixture of unsupervised artificial neural networks (ANN) and hierarchical multiresolution wavelet. Firstly, the ADC images are decomposed by multiresolution wavelets, which are subsequently selectively reconstructed to form wavelet filtered images. These wavelet filtered images along with FLAIR and T2… CONTINUE READING
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